Prevalence of psychiatric disorders in juvenile offenders in the city of Rio de Janeiro (RJ, Brazil)

Cresce no Brasil a prevalência de jovens infratores, principalmente do gênero feminino. A literatura aponta para prevalências aumentadas de transtornos mentais entre esses jovens em vários países, mas no Brasil faltam estudos. O objetivo é avaliar a prevalência de transtornos mentais em adolescentes sob medida socioeducativa, considerando como hipótese sua diferença entre gêneros com base no tipo de delito cometido. O instrumento usado foi o K-SADS-PL. Como resultados, alta prevalência de transtornos psiquiátricos entre adolescentes infratores, sendo os mais prevalentes: transtorno de déficit de atenção com hiperatividade (33%), transtorno da conduta (77%), transtorno desafiador opositivo (50%), transtornos de ansiedade (70%), transtorno depressivo (50%), abuso de drogas ilícitas (70%) e abuso de álcool (52%). O abuso de álcool aumentou em 2,4 vezes a chance de um adolescente cometer delito violento. Esses dados sugerem às autoridades em saúde pública que tanto a detecção quanto o tratamento precoce de transtornos psiquiátricos na infância podem ajudar na prevenção de atos infratores. Sugerem também que o tratamento em saúde mental dos jovens sob custódia da lei deve ser parte fundamental da recuperação e da ressocialização deles.The prevalence of juvenile offenders in Brazil, mainly among young females, is on the increase. The literature on this issue indicates an increased incidence of mental disorders among young offenders in several countries, though studies in Brazil are lacking. The aim of this article is to study the prevalence of mental disorders in adolescents from a socio-educational standpoint, taking as a hypothesis the gender difference and the type of offense committed. The instrument used was the K-SADS-PL. As results, we found a high prevalence of psychiatric disorders among juvenile offenders, the most common being: attention deficit hhyperactivity disorder (33.3%); behavioral disorder (77%); oppositional defiant disorder (50%), anxiety disorders (70%), depressive disorder (50%), illicit drug abuse/dependence (70%), and alcohol abuse/dependence (52%). Alcohol abuse/dependence caused a 2.4-fold increase in the probability of adolescents committing a violent offence. Public health authorities should concentrate on early diagnosis and treatment of psychiatric disorders in childhood to reduce future violations. It is also suggested that mental health treatment of detained juveniles should be a fundamental part of the recuperation and reintegration of young offenders into society

Prevalence of dynapenia and overlap with disability, depression, and executive dysfunction

OBJECTIVE: This study aims to investigate handgrip strength and dynapenia prevalence among older adults stratified by Brazilian macroregions. Additionally, we aim to evaluate the overlap between dynapenia and Instrumental Activities of Daily Living (IADL) disability, depression, and executive dysfunction on a national basis and by each Brazilian macroregion. METHODS: This cross-sectional analysis was based on data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil). A multistage cluster sample design was used, with a representative population-based study of non-institutionalized community-dwelling Brazilians aged ≥ 50 years from 70 municipalities across all five macroregions of the country. The outcome variable was dynapenia. Covariables were IADL disability, depression, and executive dysfunction. The Brazilian macroregions were used for stratification. In addition, the following additional variables were included: age group, gender, education level, macroregions (North, Northeast, Southeast, South, and Midwest), self-reported health, multimorbidity, and falls. RESULTS: A total of 8,849 (94%) of the sample provided complete information for the handgrip strength assessment and were included in this analysis. Dynapenia prevalence was higher in North and Northeast regions (28.5% and 35.1%, respectively). We identified statistically significant differences between different macroregions for dynapenia, IADL disability, and verbal fluency, with worse values in the North and Northeast regions. In the North and Northeast macroregions, nearly half of the subjects that presented executive dysfunction and IADL disability also had dynapenia. There was a more significant overlap in the prevalence of all four conditions in the North and Northeast regions (4.8% and 5.5%, respectively), whereas the overlap was smaller in the South (2.3%). There was also a smaller overlap in the prevalence of dynapenia and depression in the South (5.8%) compared with other macroregions. CONCLUSIONS: Macroregions in Brazil exhibit marked differences in the prevalence of dynapenia and in its overlap with IADL disability, depression, and executive dysfunction

Association among race/color, gender, and intrinsic capacity: results from the ELSI-Brazil study

OBJECTIVE: To investigate associations among race/color, gender, and intrinsic capacity (IC) (total and by domains) in middle-aged and older adults from a Brazilian cohort. As a secondary objective, we investigate these associations across Brazilian regions. METHODS: This is a cross-sectional study conducted with baseline data from the 2015–2016 Brazilian Longitudinal Study of Aging (ELSI-Brazil). IC was investigated via cognitive (verbal fluency), physical (gait velocity/handgrip), and psychosocial (Center for Epidemiological Studies Depression) domains. Moreover, IC sensory domain was evaluated via self-reported sensory disease diagnoses (vision and/or hearing impairment) and race/color was identified via self-reported criteria. RESULTS: We evaluated a total of 9,070 participants (aged ≥ 50 years). Black and Brown participants were 80% and 41% more likely to show a worse IC cognitive domain than white controls, respectively (OR = 1.80, 95%CI: 1.42–2.28, p < 0.001 and OR = 1.41, 95%CI: 1.21–1.65, p < 0.001). Moreover, Black and Brown women had almost a threefold greater chance of showing a worse IC than white men (OR = 2.91, 95%CI: 1.89–4.47, p < 0.001 and OR = 2.51, 95%CI: 2.09 - 3.02, p < 0.001) and a 62% (OR = 1.62, 95%CI: 1.02–2.57) and 32% (OR = 1.32, 95%CI: 1.10–1.57) greater risk of falling below our IC score cutoff point than white women. We found the greatest differences in the Brazilian South, whereas its North showed the lowest associations among race/color, gender, and IC. CONCLUSION: IC racial and gender disparities reinforce the need for public health policies to guarantee equality during aging. Promoting greater access to good health care requires understanding how racism and sexism can contribute to health inequities and their consequences in different Brazilian regions

Bose-Einstein correlations of charged hadrons in proton-proton collisions at s\sqrt s = 13 TeV

Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s}$ = 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s}$ = 7 TeV, as well as with theoretical predictions.[graphic not available: see fulltext]Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s} =$ 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s} =$ 7 TeV, as well as with theoretical predictions

Search for dark matter in events with a leptoquark and missing transverse momentum in proton-proton collisions at 13 TeV

A search is presented for dark matter in proton-proton collisions at a center-of-mass energy of root s= 13 TeV using events with at least one high transverse momentum (p(T)) muon, at least one high-p(T) jet, and large missing transverse momentum. The data were collected with the CMS detector at the CERN LHC in 2016 and 2017, and correspond to an integrated luminosity of 77.4 fb(-1). In the examined scenario, a pair of scalar leptoquarks is assumed to be produced. One leptoquark decays to a muon and a jet while the other decays to dark matter and low-p(T) standard model particles. The signature for signal events would be significant missing transverse momentum from the dark matter in conjunction with a peak at the leptoquark mass in the invariant mass distribution of the highest p(T) muon and jet. The data are observed to be consistent with the background predicted by the standard model. For the first benchmark scenario considered, dark matter masses up to 500 GeV are excluded for leptoquark masses m(LQ) approximate to 1400 GeV, and up to 300 GeV for m(LQ) approximate to 1500 GeV. For the second benchmark scenario, dark matter masses up to 600 GeV are excluded for m(LQ) approximate to 1400 GeV. (C) 2019 The Author(s). Published by Elsevier B.V.Peer reviewe

Observation of the χb1(3P)\chi_{b1}(3P) and χb2(3P)\chi_{b2}(3P) and measurement of their masses

The $\chi_{b1}(3P)$ and $\chi_{b2}(3P)$ states are observed through their $\gamma(3S)_\gamma$ decays, using an event sample of proton-proton collisions collected by the CMS experiment at the CERN LHC. The data were collected at a center-of-mass energy of 13 TeV and correspond to an integrated luminosity of $80.0  fb^{−1}$. The$\gamma(3S)$ mesons are identified through their dimuon decay channel, while the low-energy photons are detected after converting to $e^+e ^−$ pairs in the silicon tracker, leading to a $\chi_{b1}(3P)$ mass resolution of 2.2 MeV. This is the first time that the J=1 and 2 states are well resolved and their masses individually measured: $10513.42±0.41(stat)±0.18(syst)  MeV$ and $10524.02±0.57(stat)±0.18(syst)  MeV$; they are determined with respect to the world-average value of the $\gamma(3S)$ mass, which has an uncertainty of 0.5 MeV. The mass splitting is measured to be $10.60±0.64(stat)±0.17(syst)  MeV$

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Recognizing Late Onset Frontotemporal Dementia with the DAPHNE scale: A case report

ABSTRACT Frontotemporal dementias are classically described as early onset dementias with personality and behavioral changes, however, late onset forms can also be found. Considering the paucity of information about late onset behavioral variant frontotemporal dementia and its challenging diagnosis, we present a case report of an 85-year-old woman with behavioral changes and slow progression to dementia who was first diagnosed as having bipolar disorder and then Alzheimer's disease. The Daphne scale provided a structured means to improve clinical diagnosis, also supported by characteristic features on MRI and SPECT, while CSF biomarkers ruled out atypical Alzheimer's disease

Recognizing Late Onset Frontotemporal Dementia with the DAPHNE scale: A case report

<div><p>ABSTRACT Frontotemporal dementias are classically described as early onset dementias with personality and behavioral changes, however, late onset forms can also be found. Considering the paucity of information about late onset behavioral variant frontotemporal dementia and its challenging diagnosis, we present a case report of an 85-year-old woman with behavioral changes and slow progression to dementia who was first diagnosed as having bipolar disorder and then Alzheimer's disease. The Daphne scale provided a structured means to improve clinical diagnosis, also supported by characteristic features on MRI and SPECT, while CSF biomarkers ruled out atypical Alzheimer's disease.</p></div